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gen-specs-as-issues

This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.

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New~1.5kUpdated Jun 26, 2026

Product Manager Assistant: Feature Identification and Specification

This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.

1. Project Understanding Phase

  • Review the project structure to understand its organization
  • Read the README.md and other documentation files to understand the project's core functionality
  • Identify the existing implementation status by examining:
    • Main entry points (CLI, API, UI, etc.)
    • Core modules and their functionality
    • Tests to understand expected behavior
    • Any placeholder implementations

Guiding Questions:

  • What is the primary purpose of this project?
  • What user problems does it solve?
  • What patterns exist in the current implementation?
  • Which features are mentioned in documentation but not fully implemented?

2. Gap Analysis Phase

  • Compare the documented capabilities ONLY against the actual implementation
  • Identify "placeholder" code that lacks real functionality
  • Look for features mentioned in documentation but missing robust implementation
  • Consider the user journey and identify broken or missing steps
  • Focus on core functionality first (not nice-to-have features)

Output Creation:

  • Create a list of potential missing features (5-7 items)
  • For each feature, note:
    • Current implementation status
    • References in documentation
    • Impact on user experience if missing

3. Prioritization Phase

  • Apply a score to each identified gap:

Scoring Matrix (1-5 scale):

  • User Impact: How many users benefit?
  • Strategic Alignment: Fits core mission?
  • Implementation Feasibility: Technical complexity?
  • Resource Requirements: Development effort needed?
  • Risk Level: Potential negative impacts?

Priority = (User Impact × Strategic Alignment) / (Implementation Effort × Risk Level)

Output Creation:

  • Present the top 3 highest-priority missing features based on the scoring
  • For each, provide:
    • Feature name
    • Current status
    • Impact if not implemented
    • Dependencies on other features

4. Specification Development Phase

  • For each prioritized feature, develop a detailed but practical specification:
    • Begin with the philosophical approach: simplicity over complexity
    • Focus on MVP functionality first
    • Consider the developer experience
    • Keep the specification implementation-friendly

For Each Feature Specification:

  1. Overview & Scope

    • What problem does it solve?
    • What's included and what's explicitly excluded?
  2. Technical Requirements

    • Core functionality needed
    • User-facing interfaces (API, UI, CLI, etc.)
    • Integration points with existing code
  3. Implementation Plan

    • Key modules/files to create or modify
    • Simple code examples showing the approach
    • Clear data structures and interfaces
  4. Acceptance Criteria

    • How will we know when it's done?
    • What specific functionality must work?
    • What tests should pass?

5. GitHub Issue Creation Phase

  • For each specification, create a GitHub issue:
    • Clear, descriptive title
    • Comprehensive specification in the body
    • Appropriate labels (enhancement, high-priority, etc.)
    • Explicitly mention MVP philosophy where relevant

Issue Template Structure:

[Feature Name]

Overview

[Brief description of the feature and its purpose]

Scope

[What's included and what's explicitly excluded]

Technical Requirements

[Specific technical needs and constraints]

Implementation Plan

[Step-by-step approach with simple code examples]

Acceptance Criteria

[Clear list of requirements to consider the feature complete]

Priority

[Justification for prioritization]

Dependencies

  • Blocks: [List of issues blocked by this one]
  • Blocked by: [List of issues this one depends on]

Implementation Size

  • Estimated effort: [Small/Medium/Large]
  • Sub-issues: [Links to sub-issues if this is a parent issue]

5.5 Work Distribution Optimization

  • Independence Analysis

    • Review each specification to identify truly independent components
    • Refactor specifications to maximize independent work streams
    • Create clear boundaries between interdependent components
  • Dependency Mapping

    • For features with unavoidable dependencies, establish clear issue hierarchies
    • Create parent issues for the overall feature with sub-issues for components
    • Explicitly document "blocked by" and "blocks" relationships
  • Workload Balancing

    • Break down large specifications into smaller, manageable sub-issues
    • Ensure each sub-issue represents 1-3 days of development work
    • Include sub-issue specific acceptance criteria

Implementation Guidelines:

  • Use GitHub issue linking syntax to create explicit relationships
  • Add labels to indicate dependency status (e.g., "blocked", "prerequisite")
  • Include estimated complexity/effort for each issue to aid sprint planning

6. Final Review Phase

  • Summarize all created specifications
  • Highlight implementation dependencies between features
  • Suggest a logical implementation order
  • Note any potential challenges or considerations

Remember throughout this process:

  • Favor simplicity over complexity
  • Start with minimal viable implementations that work
  • Focus on developer experience
  • Build a foundation that can be extended later
  • Consider the open-source community and contribution model

This workflow embodiment of our approach should help maintain consistency in how features are specified and prioritized, ensuring that software projects evolve in a thoughtful, user-centered way.

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Overall Score

76/100

Grade

B

Good

Safety

88

Quality

72

Clarity

82

Completeness

62

Summary

This skill guides AI agents through a structured workflow to identify missing features in software projects, prioritize them using a quantitative scoring matrix, and generate detailed GitHub issues with acceptance criteria and dependency information. The workflow spans project understanding, gap analysis, prioritization, specification development, issue creation, work distribution optimization, and final review.

Detected Capabilities

file read (README, documentation)code analysis (project structure, modules, tests)structured output generation (lists, matrices, tables)GitHub issue creation (through agent API)dependency graph creationestimation and prioritization logic

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

identify missing featuresproduct gap analysisfeature prioritizationcreate feature specificationsgenerate github issuesprioritize product roadmapfeature gap discovery

Use Cases

  • Systematically identify missing features in a codebase by comparing documentation against implementation
  • Prioritize feature gaps using a quantitative scoring framework that balances user impact, alignment, feasibility, and risk
  • Generate well-structured GitHub issues with specifications, acceptance criteria, and dependency tracking
  • Plan feature work across teams by identifying independent work streams and managing inter-feature dependencies
  • Document technical requirements and implementation approaches for product stakeholders and developers
  • Optimize sprint planning by breaking large features into manageable sub-issues with effort estimates

Quality Notes

  • Strength: Well-structured workflow with clear phases and decision points; each phase has explicit inputs, decision criteria, and outputs.
  • Strength: Concrete prioritization matrix (1-5 scale with four dimensions) provides quantitative framework rather than vague prioritization
  • Strength: GitHub issue template is comprehensive and includes dependency tracking, estimation, and acceptance criteria — practical for actual usage
  • Strength: Section 5.5 (Work Distribution Optimization) explicitly addresses team parallelization and dependency management, which is sophisticated product management
  • Strength: Emphasis on MVP philosophy and simplicity throughout prevents scope creep and overengineering
  • Potential weakness: Gap Analysis phase relies on agent reading documentation and code, but does not guide the agent on HOW to compare them (diff, checklist, etc.)
  • Potential weakness: No guidance on handling large codebases or projects with 50+ potential gaps — how to narrow scope?
  • Potential weakness: Specification Development phase assumes agent knows technical domain; no instruction to ask clarifying questions if unfamiliar with codebase architecture
  • Potential weakness: No error handling guidance — what if documentation is outdated, tests are missing, or implementation is unclear?
  • Potential weakness: GitHub issue creation phase mentions 'create a GitHub issue' but does not specify API usage, authentication, or error handling if creation fails
Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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